Bitemporal KG

Bitemporal Knowledge Graphs track both real-world event times and database record times to enable perfect historical auditing and point-in-time data recovery.

Standard graphs only show the present. Bitemporal Knowledge Graphs (KGs) utilize two distinct axes: valid time (when a fact occurred in reality) and transaction time (when the system recorded that fact). This architecture, pioneered by systems like XTDB and Crux, eliminates the need for destructive updates. If a financial analyst discovers a trade from March 12 was recorded incorrectly on March 14, they can update the record without losing the original entry. This creates a complete immutable ledger: users can query the graph as it appeared on any specific date or analyze how knowledge evolved over time (retroactive corrections included). It is the gold standard for high-stakes domains like fintech, legal compliance, and clinical research where data lineage is non-negotiable.

https://www.xtdb.com/blog/bitemporal-knowledge-graphs